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RBF.BLDC
- 该PPT提供了无刷电机无位置控制的新方法...RBF神经网络控制...我们积极在这方面做实验,取得了一定的效果-The PPT provides a brushless motor without position control of the new method ... RBF neural network control ... We are actively conducting experiments in this regard, and achieved some results
ERN
- a transmission line fault location model which is based on an Elman recurrent network (ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with different inception times are implemented on a 380-kV proto
APITypeFuzzyneuralNetworkControllerforInductionMo
- A PI Type Fuzzy-neural Network Controller for Induction Motor Drives
nn
- this matlab program uses GRNN neural network tocontrol the speed of Linear induction Motor Drive, both m-file and simulink file are inclu-this is matlab program uses GRNN neural network tocontrol the speed of Linear induction Motor Drive, both m-file
4
- A VECTOR CONTROLLED INDUCTION MOTOR DRIVE WITH NEURAL NETWORK BASED SPACE VECTOR PULSE WIDTH MODULATOR
19395
- A Neural Network Autoassociator for Induction Motor Failure Prediction
spra333
- Designing Artificial Neural Networks for Fault Detection in Induction Motors with the TMS320C30 DSP
ANN-DFIG
- Control of a doubly fed induction genartor using an artificial neural networks.
ANN-DFIM-Youcef
- Control of doubly fed induction wind turbine with an artificial neural networks ANN.
mohu-dirct-torque
- 该仿真模型是一种利用模糊控制器调节PWM信号占空比的异步电动机直接转矩控制的策略,即在传统异步电动机直接转矩控制的基础上,用模糊控制器代替传统DTC中的滞环比较器和空间电压矢量状态选择器来细分控制规则,最后控制逆变器的开关,以减小转矩和磁链脉动,从而改善交流异步电机伺服系统的动、静态品质,使整个系统具有较强的鲁棒性和自适应性。-A method of the stator resistance estimate which based on the fuzzy neural network wa
SCIM.mdl
- This paper describes a Model Reference Adaptive System (MRAS) based scheme using a multilayer Recurrent Neural Network (RNN) for online speed estimation of sensorless vector controlled induction motor drive.
APP26
- Field oriented control for doubly fed induction generator using artificial neural networks dedicated for wind energy conversion system
06063690
- Broken Bar Fault Diagnosis of Induction Motors Using MCSA and Neural Network
Optimized-Speed-Control-of-Induction-Motor
- Optimized Neural Network Speed Control of Induction Motor using Genetic Algorithm.
Mohd_Shukri_Alias_(_CD_5290_)
- A STATOR RESISTANCE ESTIMATION OF INDUCTION MOTOR USING NEURAL NETWORK
1-(2)
- Fault diagnosis system of induction motors based on neural network and genetic algorithm using stator current signals
5_3_8
- In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL) controller is used for controlling the rotor speed and Artificial Ne
ADMC_401-SVPWM
- 基于ADMC_401的三相交流感应电机的SVPWM变频调速研究,通过对感应电动机的矢量控制原理分析, 提出了一种PID神经元网络控制器-SVPWM variable frequency speed control studies based ADMC_401 three-phase AC induction motor, induction motor vector control principle analysis, proposed a PID neural network control
01259578
- Direct Torque Control of Induction Motor by Use of Neural Network
shengjingwangluo
- 李亚非老师的神经网络讲义 包含知识归纳、作业、习题、试卷、PPT,通俗易懂,是学习神经网络必备资料-Li Yafei teacher handouts neural network Includes knowledge induction, operations, exercises, papers, PPT, straightaway, it is essential information learning neural network